7 items7 builders

AI Builders Digest

What the people actually building AI said today. One page — a 2-min read.

The strongest signal today was a move from AI that predicts to AI that helps decide what to do next, in both biology labs and software tools. Builders also pointed to a growing demand for apps that work across models and let people collaborate with agents inside familiar interfaces.

Podcast

Latent Space

Lab Compass aims to turn cell models into experiments

Fabian Theis says Lab Compass uses a model of how cells respond to changes to suggest experiments that could move them toward a desired state. His team ran three or four cycles of model predictions and lab experiments, though he says making that loop work remains difficult. “From mapping, we went to prediction, but now we can go to actually steering the next experiment.”

  • #research
  • #biology
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Garry Tan

Y Combinator President & CEO

Garry Tan says agent skills need continual evaluation

Garry Tan argues that developers should test agent skills against each new model and remove instructions the model no longer needs. He says he dropped his /investigate skill because Opus 5.5 handles that work better without it. He also praised Aside's computer use in a real Chromium browser.

  • #agents
  • #evals
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Zara Zhang

Zara Zhang argues a personal site is the new résumé

Zara Zhang says a personal website can show someone's work, thinking and taste more clearly than a list of job titles on LinkedIn. Her advice is to use a site to present that work without relying entirely on existing social platforms.

  • #careers
  • #products

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Where this comes from

Source data comes from the open-source project follow-builders by zarazhangrui, released under the MIT license. Summaries are generated by an LLM from that project's public feeds, and the summarization prompts are adapted from it. Every item above links to its original source.

Summaries generated automatically. Read the original before relying on any claim.